Stars
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)
Discrete dipole approximation implementation in python
Optical Prediction Neural Network -- Emulating Optical Simulations with a Neural Network
Predicting spectral emissivity of particles from a given material and geometry using decision trees and random forest.
A collection of forward and inverse Mie solving routines for Python 3, based on Bohren and Huffman's Mie Theory derivations
Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
PyPARC - A Python Package for Piecewise Affine Regression and Classification
Python package for building networks of reproducing kernel Hilbert spaces for machine learning
A package for the sparse identification of nonlinear dynamical systems from data
System identification - python notebooks
Continuous-time system identification with neural networks
Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)
GUI for System Identification using NARX and NARMAX models
A Python Package For System Identification Using NARMAX Models
A Gradio web UI for Large Language Models.
Practical examples of "Flawed Machine Learning Security" together with ML Security best practice across the end to end stages of the machine learning model lifecycle from training, to packaging, to…
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Free MLOps course from DataTalks.Club
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful l…